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研究生:陳燦琳
研究生(外文):Tsan-Lin Chen
論文名稱:有線數位影像廣播系統中之盲蔽式等化技術
論文名稱(外文):Blind Equalization Using Constant Modulus Algorithm for Cable DVB System
指導教授:魏哲和魏哲和引用關係
指導教授(外文):Che-Ho Wei
學位類別:碩士
校院名稱:國立交通大學
系所名稱:電子工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:62
中文關鍵詞:盲蔽式等化器有線數位廣播系統
外文關鍵詞:Blind EqualizerCable DVB System
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盲蔽式等化器可以恢復在伴隨白色高斯雜訊的ISI通道的數位信號。近來恆模數演算法(constant modulus algorithm)的盲蔽式等化器演算法改善了收斂速度和穩態誤差,因此這類盲蔽式等化器更適合數位影像廣播系統。
在本篇論文中,我們考慮此種等化器在數位影像廣播系統(EN300429)中之適用性,並討論及比較數種演算法的盲蔽式等化器設計。模擬結果指出,使用SGA演算法的盲蔽式等化器可以獲得比較好的收斂速度及穩態誤差。同樣的,盲蔽式等化器使用於DAPSK調變方式也可以得到相同的收斂行為。

Blind equalizers have long been employed to recover the distorted signal over ISI channel with AWGN noise. Among the many blind algorithms, constant modulus algorithm (CMA) is the most frequently employed adaptation algorithm in blind equalizers.
In this thesis, we consider the applicability of such equalizers to the EN300429 DVB system using QAM modulation technique. Specifically, the effects of several algorithms for blind equalization are discussed and compared. Computer simulation results indicate that the performances of blind equalizers using SGA algorithm, one variant of the CMA, is the best approach for improving convergence speed and reducing steady state error. Also, the blind equalizers for DPASK modulation scheme can achieve similar convergence behaviors, if it is employed in DVB systems.

Chapter 1. Introduction
Chapter 2. Digital Video Broadcasting System-EN300429
2.1 Transmitting terminal
2.2 Raised cosine filter and cable channel
2.3 Receiving Terminal
Chapter 3. Blind Equalization in Digital Communication Systems
3.1 Blind Equalization and Channel Identification
3.2 Blind Adaptive Channel Equalizer
3.3 Blind Algorithms
3.3.1 The Sato Algorithm
3.3.2 Constant Modulus Algorithm
3.3.3 Higher-Order Statistics Algorithm
Chapter 4. Blind Equalization Technique Base on Constant
Modulus Algorithm
4.1 Blind Equalizer and Constant Modulus Algorithm (CMA)
4.2 Modified Constant Modulus Algorithm (MCMA)
4.3 Normalized Constant Modulus Algorithm (NCMA)
4.4 Dual-Mode Algorithm
4.5 Smoothed Dual-Mode algorithm
4.6 Stop-and-Go Algorithm (SGA)
Chapter 5. Computer Simulations
5.1 Observe Parameters
5.2 Convergence behavior of the CMA equalizer for QAM
scheme
5.3 Blind Equalization with Phase Recovery
5.4 Performance Optimization Approach
5.5 Speed-up Techniques for Blind Equalization Algorithm
5.6 Blind Equalization Applied to DAPSK Signals
5.7 Finite-Precision Simulation of Blind Equalization
5.8 Other Convergence Behavior Issues
5.9 Blind equalization for EN300429
Chapter 6. Conclusions
References

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[2] “Digital Video Broadcasting; Framing structure, channel
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(EN300429 v1.2.1 1998-04)
[3] Y. Sato, “A Method of Self-Recovery Equalization for
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COM-23, pp.679-682, Jun 1975.
[4] D. Brilliger, “Time Series: Data Analysis and Theory”,
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[9] K. N. Oh and Y. Chin, “New Blind Equalization Techniques
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[11]V. Weerackody and S. A. Kassam, “Dual-Model Algorithm for
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[12]C. H. Tseng and C. B. Lin, “A Stop-and-Go Dual-Mode
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Recovery Using a Stop-and-Go Decision-Direct Algorithm”,
IEEE Trans. Commun. Vol: COM-35, pp.877-887, Sep. 1987
[14]Z. Ding and Y. Li, “Blind Equalization and
Identification”, Marcel Dekker, Inc., 2000

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